1 in 6 Congresswomen Have Reportedly Been Targeted by AI-Generated Nonconsensual Intimate Imagery

December 11, 2024

A study by the American Sunlight Project uncovers alarming instances of nonconsensual intimate imagery (NCII) involving 26 members of Congress, with women being 70 times more likely to be targeted. This underscores the urgent need for trustworthy AI and strong governance. HISPI Project Cerebellum aims to provide guardrails for safe and secure AI practices.

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This incident serves as a reminder of the importance of mapping such occurrences using HISPI Project Cerebellum TAIM's Measure function to better understand and prevent harm.

Matched TAIM controls

Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls

MEASURE 2.10 — similarity 0.701, rank 1. TAIM detail and related incidents →
MAP 4.1 — similarity 0.697, rank 2. TAIM detail and related incidents →
MEASURE 2.6 — similarity 0.689, rank 3. TAIM detail and related incidents →

Alleged deployer: unknown-deepfake-creators
Alleged developer: unknown-deepfake-technology-developers
Alleged harmed parties: congresswomen

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/874

Data source

Incident data is from the AI Incident Database (AIID).

When citing the database as a whole, please use:

McGregor, S. (2021) Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. In Proceedings of the Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21). Virtual Conference.

Pre-print on arXiv · Database snapshots & citation guide

We use weekly snapshots of the AIID for stable reference. For the official suggested citation of a specific incident, use the “Cite this incident” link on each incident page.